Publikasi Ilmiah Dr. Noor Ifada., ST., M.ISD.

No Judul Publikasi Nama Jurnal Tahun Keterangan Cek Similarity
Jurnal Nasional Terakreditasi:
1 Impact of Imputation on Cluster-based Collaborative Filtering approach for Recommendation System Jurnal Ilmiah Kursor, Vol 10, No 1, ISSN: 0216-0544 (e-ISSN: 2301-6914) Juli 2019 Paper 1
Peer Review
Lampiran 1
2 Multi-criteria based Item Recommendation Methods Rekayasa, Vol 12, No 2, ISSN: 0216-9495 (e-ISSN: 2502-5325) Oktober 2019 Paper 2
Peer Review
Lampiran 2
3 Normalization based Multi-Criteria Collaborative Filtering Approach for Recommendation System Rekayasa, Vol 13, No 3, ISSN: 0216-9495 (e-ISSN: 2502-5325) Desember 2020 Paper 3
Peer Review
Lampiran 3
Jurnal Internasional Bereputasi:
4 A New Weighted-learning Approach for Exploiting Data Sparsity in Tag-based Item Recommendation Systems International Journal of Intelligent Engineering and Systems (IJIES), Vol 14, No 1, ISSN: 2185-3118 Februari 2021 Paper 4
Peer Review
Lampiran 4
Seminar Internasional Terindeks:
5 Employing Sparsity Removal Approach and Fuzzy C-Means Clustering Technique on a Movie Recommendation System The 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia (CENIM), ISBN: 978-1-5386-7510-6 (e-ISBN: 978-1-5386-7509-0), IEEE 2018 Paper 5
Peer Review
Lampiran 5
6 Enhancing the Performance of Library Book Recommendation System by Employing the Probabilistic-Keyword Model on a Collaborative Filtering Approach The 4th International Conference on Computer Science and Computational Intelligence (ICCSCI), ISSN: 1877-0509, Elsevier B.V. 2019 Paper 6
Peer Review
Lampiran 6
7 NMF-based DCG Optimization for Collaborative Ranking on Recommendation Systems The 2nd International Conference on Machine Learning and Machine Intelligence (MLMI 2019), ISBN: 978-1-4503-7248-0, ACM 2019 Paper 7 Peer Review Lampiran 7
8 An Efficient Scheme to Combine the User Demographics and Item Attribute for Solving Data Sparsity and Cold-start Problems The 3rd International Conference on Informatics and Computational Science (ICICoS 2019), ISBN: 978-1-7281-4610-2, IEEE 2019 Paper 8 Peer Review Lampiran 8
9 Application of Latent Factor Model on a Restaurant Menu Recommendation System  Journal of Physics: Conference Series (International Conference on Science and Technology 2019), IOP Publishing 2019 Paper 9 Peer Review Lampiran 9
10 Collaborative Filtering Item Recommendation Methods based on Matrix Factorization and Clustering Approaches The 10th Electrical Power, Electronics, Communications, Controls and Informatics Seminar (EECCIS 2020), ISBN: 978-1-7281-7109-8, IEEE 2020 Paper 10 Peer Review Lampiran 10
11 A Comparative Study of Centroid and Medoid based Categorical Data Clustering Methods for Solving Cold-start Recommendation Problem The 2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM), ISBN: 978-1-7281-8284-1 (e-ISBN: 978-1-7281-8283-4), IEEE 2020 Paper 11 Peer Review Lampiran 11
12 Hybrid Popularity Model for Solving Cold-Start Problem in Recommendation System The 5th International Conference on Sustainable Information Engineering and Technology (SIET 2020), ISBN: 978-1-4503-7605-1, ACM 2020 Paper 12 Peer Review Lampiran 12
Seminar Internasional:
13 IoT Implementation of Madura Tourism Dictionary: A study on mobile networks performance in Madura The 2nd International Conference on Informatics for Development 2018 “DIGITAL OF THINGS” (ICiD 2018), 978-602-53524-0-9 2018 Paper 13
Peer Review
Lampiran 13
Seminar Nasional:
14 Pembuatan Web Portal Sindikasi Berita Indonesia dengan Klasifikasi Metode Single Pass Clustering Seminar Nasional Aplikasi Teknologi Informasi 2011 (SNATi 2011), 1907-5022 2011 Paper 14
Peer Review
Lampiran 14
Karya Cipta Nasional:
15 Aplikasi Lamongan Tourism (Wisata Lamongan) Hak Cipta (Program Komputer) 2020 Peer Review Lampiran 15
16 Android App Lamongan Tourism (Wisata Lamongan) Hak Cipta (Program Komputer) 2020 Peer Review Lampiran 16

Validasi Karya Ilmiah Reviewer 1

Validasi Karya Ilmiah Reviewer 2

17 How relevant is the irrelevant data: Leveraging the tagging data for a learning-to-rank model The 9th ACM International Conference on Web Search and Data mining (WSDM 2016), 978-1-4503-3716-8 2016 Paper 17 Lampiran 17
18 Tensor-based item recommendation using probabilistic ranking in social tagging systems The 23rd International Conference on World Wide Web Companion (WWW 2014), 978-1-4503-2745-9 2014 Paper 18 Lampiran 18
19 A two-stage item recommendation method using probabilistic ranking with reconstructed tensor model The 2014 International Conference on User Modeling, Adaptation, and Personalization (UMAP 2014), 978-3-319-08785-6 (e-ISBN: 978-3-319-08786-3) 2014 Paper 19 Lampiran 19
20 An efficient tagging data interpretation and representation scheme for item recommendation The 12th Australasian Data Mining Conference (AusDM 2014), 978-1-921770-17-3 (ISSN: 1445-1336) 2014 Paper 20 Lampiran 20
21 Do-Rank: DCG optimization for learning-to-rank in tag-based item recommendation systems The 2015 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 978-3-319-18031-1 (e-ISBN: 978-3-319-18032-8) 2015 Paper 21 Lampiran 21
22 A tag-based personalized item recommendation system using tensor modeling and topic model approaches The 37th International ACM SIGIR Conference on Research & Development in Information Retrieval, 978-1-4503-2257-7, 2014 Paper 22 Lampiran 22